CN114896032B - Scheduling task processing method, system, equipment and medium of block chain platform - Google Patents

Scheduling task processing method, system, equipment and medium of block chain platform Download PDF

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CN114896032B
CN114896032B CN202210327149.5A CN202210327149A CN114896032B CN 114896032 B CN114896032 B CN 114896032B CN 202210327149 A CN202210327149 A CN 202210327149A CN 114896032 B CN114896032 B CN 114896032B
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task
scheduling task
scheduling
processing
memory
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CN114896032A (en
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崔灿
刘金波
冯琼
陶蕾
黄运豪
狄方春
张周杰
刘�东
封超涵
万雄
张伟
穆勇铮
杨立波
马斌
李一鹏
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State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
State Grid Hebei Electric Power Co Ltd
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State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
State Grid Hebei Electric Power Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/48—Program initiating; Program switching, e.g. by interrupt
    • G06F9/4806—Task transfer initiation or dispatching
    • G06F9/4843—Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • G06F9/5011—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resources being hardware resources other than CPUs, Servers and Terminals
    • G06F9/5016—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resources being hardware resources other than CPUs, Servers and Terminals the resource being the memory
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
    • Y04S40/20—Information technology specific aspects, e.g. CAD, simulation, modelling, system security

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  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The invention belongs to the field of power automation, and discloses a scheduling task processing method, a system, equipment and a medium of a block chain platform, wherein the scheduling task processing method comprises the following steps: acquiring the occupied resource requirements of a scheduling task on a memory, a hard disk and a CPU, and the transmission resource requirements of the scheduling task on the memory, the hard disk and the CPU; according to preset weights, the occupied resource demands and the transmission resource demands of the scheduling tasks on the memory, the hard disk and the CPU are respectively overlapped, and the processing resource demands of the scheduling tasks on the memory, the hard disk and the CPU are obtained; and determining the task type of the scheduling task according to the processing resource requirements of the scheduling task on the memory, the hard disk and the CPU, determining the processing node of the scheduling task in the block chain platform, and processing the scheduling task through the processing node. The method has the advantages that the type division of the scheduling tasks is realized, and further, different consensus processing modes are adopted for different types of scheduling tasks, so that the consensus cost of the block chain platform is reduced, and the data processing efficiency and the data processing capability of the scheduling tasks of the block chain platform are effectively improved.

Description

Scheduling task processing method, system, equipment and medium of block chain platform
Technical Field
The invention belongs to the field of power automation, and relates to a scheduling task processing method, a scheduling task processing system, scheduling task processing equipment and scheduling task processing media for a block chain platform.
Background
In the novel power system construction process, due to the access of various main bodies such as a micro-grid, a distributed power generation unit and a new energy power system, and the improvement of the novel power system in the aspect of intelligence, the scheduling field information data has the characteristics of scattered data sources, large data volume, high data transmission frequency and the like, and the requirements on the safety and reliability of the data transmission and the processing of the scheduling system are higher. The traditional task scheduling processing method adopts centralized processing, a single data processing device is responsible for task execution, and the result is stored in a core database. The centralized processing mode brings hidden danger to data security, and once a data processing device or a database is attacked, the problem of data tampering or leakage can be caused, so that the safety production of a power system is greatly threatened.
At present, by utilizing the technical characteristics of decentralization execution and distributed storage of a block chain platform, the risk and attack resistance of the scheduling data can be greatly improved, and the safe processing and reliable transmission of the scheduling data are enhanced. However, the common overhead of the blockchain results in excessive time cost of data processing, which greatly restricts the data processing efficiency.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a scheduling task processing method, a scheduling task processing system, scheduling task processing equipment and scheduling task processing media of a block chain platform.
In order to achieve the purpose, the invention is realized by adopting the following technical scheme:
in a first aspect of the present invention, a method for processing a scheduling task of a blockchain platform includes:
Acquiring and analyzing a scheduling task to acquire the occupied resource demands of the scheduling task on the memory, the hard disk and the CPU and the transmission resource demands of the scheduling task on the memory, the hard disk and the CPU;
According to preset weights, the occupied resource demands and the transmission resource demands of the scheduling tasks on the memory, the hard disk and the CPU are respectively overlapped, and the processing resource demands of the scheduling tasks on the memory, the hard disk and the CPU are obtained;
And determining the task type of the scheduling task according to the processing resource requirements of the scheduling task on the memory, the hard disk and the CPU, determining the processing node of the scheduling task in the block chain platform according to the task type of the scheduling task, and processing the scheduling task through the processing node.
Optionally, the obtaining and analyzing the scheduling task to obtain the resource occupation requirement of the scheduling task on the memory, the hard disk and the CPU and the transmission resource requirement of the scheduling task on the memory, the hard disk and the CPU includes:
Acquiring and analyzing a scheduling task to obtain the occupied resource requirements of the scheduling task on a memory, a hard disk and a CPU and the duty ratio of each transmission protocol adopted by the scheduling task; and obtaining the transmission resource requirements of the scheduling task on the memory, the hard disk and the CPU according to the duty ratio of each transmission protocol adopted by the scheduling task and the transmission resource occupation value preset by each transmission protocol.
Optionally, the transmission protocol includes HTTP protocol, RTP protocol and FTP protocol; the obtaining the transmission resource requirements of the scheduling task on the memory, the hard disk and the CPU according to the duty ratio of each transmission protocol adopted by the scheduling task and the transmission resource occupation value preset by each transmission protocol comprises the following steps:
And obtaining the transmission resource requirements of the scheduling task on the memory, the hard disk and the CPU according to the duty ratio of each transmission protocol adopted by the scheduling task and the transmission resource occupation value preset by each transmission protocol, wherein the transmission resource requirements of the scheduling task on the memory, the hard disk and the CPU are obtained by the following steps:
Mp＝θ1*Mhttp+θ2*Mftp+θ3*Mrtp
Cp＝θ1*Chttp+θ2*Cftp+θ3*Crtp
Dp＝θ1*Dhttp+θ2*Dftp+θ3*Drtp
wherein M p is the transmission resource requirement of the scheduling task for the memory, C p is the transmission resource requirement of the scheduling task for the CPU, and D p is the transmission resource requirement of the scheduling task for the hard disk; theta 1 is the duty ratio of the scheduled task content transmitted by the HTTP protocol to the scheduled task total content, theta 2 is the duty ratio of the scheduled task content transmitted by the FTP protocol to the scheduled task total content, and theta 3 is the duty ratio of the scheduled task content transmitted by the RTP protocol to the scheduled task total content;
Mhttp＝γ,Chttp＝δ,Dhttp＝ε
Cftp＝δ，
Mrtp＝2·γ,Crtp＝4·δ,Drtp＝ε
Wherein, M http is the memory transmission resource occupation value of the HTTP protocol, M ftp is the memory transmission resource occupation value of the FTP protocol, and M rtp is the memory transmission resource occupation value of the RTP protocol; c http is the CPU transmission resource occupation value of the HTTP protocol, C ftp is the CPU transmission resource occupation value of the FTP protocol, and C rtp is the CPU transmission resource occupation value of the RTP protocol; d http is a hard disk transmission resource occupation value of the HTTP protocol, D ftp is a hard disk transmission resource occupation value of the FTP protocol, and D rtp is a hard disk transmission resource occupation value of the RTP protocol; gamma, delta and epsilon are preset configuration parameters.
Optionally, the respectively overlapping the occupied resource requirements and the transmission resource requirements of the scheduling task on the memory, the hard disk and the CPU according to the preset weight, and obtaining the processing resource requirements of the scheduling task on the memory, the hard disk and the CPU includes:
the processing resource requirements of the scheduling task on the memory, the hard disk and the CPU are obtained by overlapping the occupied resource requirements and the transmission resource requirements of the scheduling task on the memory, the hard disk and the CPU:
M＝α·Mr+β·Mp
C＝μ·Cr+ρ·Cp
Wherein M is the processing resource requirement of the scheduling task for the memory, D is the processing resource requirement of the scheduling task for the hard disk, C is the processing resource requirement of the scheduling task for the CPU, M r is the occupied resource requirement of the scheduling task for the memory, C r is the occupied resource requirement of the scheduling task for the CPU, and D r is the occupied resource requirement of the scheduling task for the hard disk; m p is the transmission resource requirement of the scheduling task on the memory, C p is the transmission resource requirement of the scheduling task on the CPU, and D p is the transmission resource requirement of the scheduling task on the hard disk; alpha, beta, mu, rho, And ω is a preset weight parameter, and α+β=1, μ+ρ=1,
Optionally, determining the task type of the scheduled task according to the processing resource requirements of the scheduled task on the memory, the hard disk and the CPU includes:
When C is more than or equal to max (M, D) or M is less than or equal to C and less than or equal to D, the task type of the scheduling task is a calculation type task;
When C is less than min (M, D) or D is less than C and less than or equal to M, the task type of the scheduling task is text type task;
Wherein M is the processing resource requirement of the scheduling task for the memory, D is the processing resource requirement of the scheduling task for the hard disk, and C is the processing resource requirement of the scheduling task for the CPU.
Optionally, determining a processing node of the scheduled task in the blockchain platform according to the task type of the scheduled task, and processing the scheduled task through the processing node includes:
when the task type of the scheduling task is a calculation type task, verifying, calculating and consensus electing the scheduling task through a calculation node in the block chain platform to obtain a scheduling task processing result, and broadcasting the scheduling task processing result to all network nodes of the block chain platform through each broadcasting node in the block chain platform;
When the task type of the scheduling task is text type task, the verification, text processing and consensus election are carried out through each broadcasting node in the block chain platform, the scheduling task processing result is obtained, and the scheduling task processing result is broadcasted to all network nodes of the block chain platform through each broadcasting node in the block chain platform.
In a second aspect of the present invention, a scheduling task processing system of a blockchain platform includes:
The resource demand acquisition module is used for acquiring and analyzing the scheduling task to acquire the occupied resource demand of the scheduling task on the memory, the hard disk and the CPU and the transmission resource demand of the scheduling task on the memory, the hard disk and the CPU;
the demand superposition module is used for superposing the occupied resource demands and the transmission resource demands of the scheduling task on the memory, the hard disk and the CPU respectively according to preset weights to obtain the processing resource demands of the scheduling task on the memory, the hard disk and the CPU;
The task processing module is used for determining the task type of the scheduling task according to the processing resource requirements of the scheduling task on the memory, the hard disk and the CPU, determining the processing node of the scheduling task in the block chain platform according to the task type of the scheduling task, and processing the scheduling task through the processing node.
Optionally, the resource requirement acquisition module is specifically configured to: acquiring and analyzing a scheduling task to obtain the occupied resource requirements of the scheduling task on a memory, a hard disk and a CPU and the duty ratio of each transmission protocol adopted by the scheduling task; and obtaining the transmission resource requirements of the scheduling task on the memory, the hard disk and the CPU according to the duty ratio of each transmission protocol adopted by the scheduling task and the transmission resource occupation value preset by each transmission protocol.
Optionally, the task processing module is specifically configured to:
When C is more than or equal to max (M, D) or M is less than or equal to C and less than or equal to D, the task type of the scheduling task is a calculation type task;
When C is less than min (M, D) or D is less than C and less than or equal to M, the task type of the scheduling task is text type task;
wherein M is the processing resource requirement of the scheduling task for the memory, D is the processing resource requirement of the scheduling task for the hard disk, and C is the processing resource requirement of the scheduling task for the CPU;
when the task type of the scheduling task is a calculation type task, verifying, calculating and consensus electing the scheduling task through a calculation node in the block chain platform to obtain a scheduling task processing result, and broadcasting the scheduling task processing result to all network nodes of the block chain platform through each broadcasting node in the block chain platform;
When the task type of the scheduling task is text type task, the verification, text processing and consensus election are carried out through each broadcasting node in the block chain platform, the scheduling task processing result is obtained, and the scheduling task processing result is broadcasted to all network nodes of the block chain platform through each broadcasting node in the block chain platform.
In a third aspect of the present invention, a computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the scheduling task processing method of the blockchain platform when the computer program is executed.
In a fourth aspect of the present invention, a computer readable storage medium stores a computer program which, when executed by a processor, implements the steps of the scheduling task processing method of the blockchain platform described above.
Compared with the prior art, the invention has the following beneficial effects:
According to the scheduling task processing method of the blockchain platform, the occupied resource requirements and the transmission resource requirements of the scheduling tasks are analyzed, so that the processing resource requirements of different scheduling tasks on the memory, the hard disk and the CPU of the network nodes in the blockchain platform are obtained, the type division of the scheduling tasks is realized on the basis, and then different processing nodes and processing modes are adopted for processing the scheduling tasks of different types, so that the resources of all the network nodes in the blockchain platform are utilized more reasonably, and compared with the mode that all the network nodes are commonly identified for any scheduling task at present, the common overhead of the blockchain platform is greatly reduced, and the data processing efficiency and the data processing capacity of the scheduling tasks of the blockchain platform are further effectively improved.
Drawings
FIG. 1 is a flow chart of a method for processing scheduling tasks of a blockchain platform of the present invention;
FIG. 2 is a block chain platform scheduling task processing system architecture according to the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The invention is described in further detail below with reference to the attached drawing figures:
First, the basic architecture of the current blockchain platform is presented. Generally, a blockchain platform is a de-centralized combined system that is composed of several network nodes. Wherein the network node may be a separate computer, server, cloud server or a cluster of servers. Also, based on the capabilities of different network nodes, each network node in the blockchain platform may be used to assume a broadcast node and a compute node, respectively. The network nodes with stronger computing capability and storage capability in the block chain platform bear broadcasting nodes and are responsible for verifying and executing scheduling tasks, the broadcasting nodes broadcast results to the whole block chain platform after consensus among the broadcasting nodes is achieved, and other network nodes in the block chain platform store the results after receiving the results and verifying information sources, so that the whole block chain platform achieves consensus. All network nodes in the block chain platform can bear calculation nodes and are responsible for participating in scheduling tasks which need to be calculated together by all network nodes, after each network node calculates independently, a consensus result is selected according to an election algorithm and then broadcast by a broadcast node, and the whole block chain platform achieves consensus.
Referring to fig. 1, in an embodiment of the present invention, a method for processing a scheduling task of a blockchain platform is provided, by performing type division and determination on the scheduling task, and adopting different processing modes according to types, the processing efficiency of the blockchain platform on scheduling data is finally improved, and technical support is provided for construction and application of a scheduling data chain.
Specifically, the scheduling task processing method of the blockchain platform in the embodiment of the invention comprises the following steps:
S1: and acquiring and analyzing the scheduling task to obtain the occupied resource demands of the scheduling task on the memory, the hard disk and the CPU and the transmission resource demands of the scheduling task on the memory, the hard disk and the CPU.
S2: and respectively superposing the occupied resource demands and the transmission resource demands of the scheduling task on the memory, the hard disk and the CPU according to preset weights to obtain the processing resource demands of the scheduling task on the memory, the hard disk and the CPU.
S3: and determining the task type of the scheduling task according to the processing resource requirements of the scheduling task on the memory, the hard disk and the CPU, determining the processing node of the scheduling task in the block chain platform according to the task type of the scheduling task, and processing the scheduling task through the processing node.
In step S1, generally, when sending a scheduling Task to the blockchain platform, the external system records the resource requirement required by the scheduling Task in an XML form, which includes the occupation condition of the scheduling Task on the memory, the hard disk and the CPU, and after receiving the scheduling Task, the blockchain platform analyzes the XML file, thereby obtaining the occupation resource requirement of the scheduling Task on the memory, the hard disk and the CPU:
Taskresource→<Mr,Cr,Dr>
wherein M r is the occupied resource requirement of the scheduling task on the memory, C r is the occupied resource requirement of the scheduling task on the CPU, and D r is the occupied resource requirement of the scheduling task on the hard disk.
In the step S1, obtaining and analyzing the scheduling task, and obtaining the transmission resource requirements of the scheduling task on the memory, the hard disk and the CPU includes: acquiring and analyzing a scheduling task to obtain the duty ratio of each transmission protocol adopted by the scheduling task; and obtaining the transmission resource requirements of the scheduling task on the memory, the hard disk and the CPU according to the duty ratio of each transmission protocol adopted by the scheduling task and the transmission resource occupation value preset by each transmission protocol.
Specifically, the transmission of the scheduling task depends on a transmission protocol, and the transmission protocol mainly includes three protocols, namely an HTTP protocol, an RTP protocol and an FTP protocol. In general, the scheduled Task is often used in combination of multiple protocols during transmission, and then the transmission resource occupation of the scheduled Task during transmission is as follows:
Taskprotocol→<Mp,Cp,Dp>
Mp＝θ1*Mhttp+θ2*Mftp+θ3*Mrtp
Cp＝θ1*Xhttp+θ2*Cftp+θ3*Crtp
Dp＝θ1*Dhttp+θ2*Dftp+θ3*Drtp
Wherein M p is the transmission resource requirement of the scheduling task for the memory, C p is the transmission resource requirement of the scheduling task for the CPU, and D p is the transmission resource requirement of the scheduling task for the hard disk; theta 1 is the duty ratio of the scheduled task content transmitted by the HTTP protocol in the scheduled task total content, theta 2 is the duty ratio of the scheduled task content transmitted by the FTP protocol in the scheduled task total content, and theta 3 is the duty ratio of the scheduled task content transmitted by the RTP protocol in the scheduled task total content.
In order to facilitate calculation, in this embodiment, transmission resource occupation conditions of HTTP protocol are set as follows:
Mhttp＝γ,Chttp＝δ,Dhttp＝ε
wherein M http is the memory transmission resource occupation value of the HTTP protocol, C http is the CPU transmission resource occupation value of the HTTP protocol, D http is the hard disk transmission resource occupation value of the HTTP protocol, and gamma, delta and epsilon are preset configuration parameters and are set according to practical experience.
Then, with the transmission resource occupation condition of the HTTP protocol as a reference, setting the transmission resource occupation conditions of the FTP protocol and the RTP protocol as follows:
Cftp＝δ，
Mrtp＝2·γ,Crtp＝4·δ,Drtp＝ε
Wherein, M ftp is the memory transmission resource occupation value of the FTP protocol, M rtp is the memory transmission resource occupation value of the RTP protocol, C ftp is the CPU transmission resource occupation value of the FTP protocol, C rtp is the CPU transmission resource occupation value of the RTP protocol, D ftp is the hard disk transmission resource occupation value of the FTP protocol, and D rtp is the hard disk transmission resource occupation value of the RTP protocol.
The values of M p、Cp and D p can be calculated, and the values can be used as the basis for scheduling task type division.
In a possible implementation manner, in the step S2, according to a preset weight, the stacking the occupied resource requirements and the transmission resource requirements of the scheduling task on the memory, the hard disk and the CPU, and the obtaining the processing resource requirements of the scheduling task on the memory, the hard disk and the CPU includes:
The occupied resource requirement and the transmission resource requirement of the scheduling task are synthesized, and the processing resource requirement of the scheduling task on the memory, the hard disk and the CPU is obtained by superposing the occupied resource requirement and the transmission resource requirement of the scheduling task on the memory, the hard disk and the CPU as follows:
M＝α·Mr+β·Mp
C＝μ·Cr+ρ·Cp
Wherein M is the processing resource requirement of the scheduling task for the memory, D is the processing resource requirement of the scheduling task for the hard disk, C is the processing resource requirement of the scheduling task for the CPU, M r is the occupied resource requirement of the scheduling task for the memory, C r is the occupied resource requirement of the scheduling task for the CPU, and D r is the occupied resource requirement of the scheduling task for the hard disk; m p is the transmission resource requirement of the scheduling task on the memory, C p is the transmission resource requirement of the scheduling task on the CPU, and D p is the transmission resource requirement of the scheduling task on the hard disk; alpha, beta, mu, rho, And ω is a preset weight parameter, and α+β=1, μ+ρ=1,
Wherein, in one possible embodiment, alpha, beta, mu, p E [0,1],The specific parameter values can be adjusted according to actual conditions.
In a possible implementation manner, in the step S3, determining the task type of the scheduled task according to the processing resource requirements of the scheduled task on the memory, the hard disk and the CPU includes:
When C is more than or equal to max (M, D) or M is less than or equal to C and less than or equal to D, the task type of the scheduling task is a calculation type task; when C is less than min (M, D) or D is less than C and less than or equal to M, the task type of the scheduling task is text type task.
Then, based on the task type of the scheduling task, a processing node of the scheduling task in the blockchain platform is determined, and the scheduling task is processed through the processing node. For example, when the task type of the scheduled task is a computational task, the processing node is a computational node in the blockchain platform, the processing mode may be a conventional processing mode of the computational task, and when the task type of the scheduled task is a text task, the processing node is a broadcast node in the blockchain platform, and the processing mode may be a conventional processing mode of the computational task.
Specifically, when the task type of the scheduling task is a calculation type task, verifying, calculating and consensus electing the scheduling task through a calculation node in the block chain platform to obtain a scheduling task processing result, and broadcasting the scheduling task processing result to all network nodes of the block chain platform through each broadcasting node in the block chain platform; when the task type of the scheduling task is text type task, the verification, text processing and consensus election are carried out through each broadcasting node in the block chain platform, the scheduling task processing result is obtained, and the scheduling task processing result is broadcasted to all network nodes of the block chain platform through each broadcasting node in the block chain platform.
In summary, the scheduling task processing method of the blockchain platform analyzes the occupied resource requirement and the transmission resource requirement of the scheduling task, so as to obtain the processing resource requirements of different scheduling tasks on the memory, the hard disk and the CPU of the network nodes in the blockchain platform, and based on the processing resource requirements, the type division of the scheduling task is realized, and further, different processing nodes and processing modes are adopted by the blockchain platform aiming at different types of scheduling tasks, so that the resources of all network nodes in the blockchain platform are utilized more reasonably, compared with the mode of carrying out the consensus together on all network nodes aiming at any scheduling task at the prior art, the consensus cost of the blockchain platform is greatly reduced, and the data processing efficiency and the data processing capability of the scheduling task of the blockchain platform are further effectively improved. If only the broadcasting node is required to perform consensus election aiming at text type tasks, and the consensus result is broadcasted, the consensus cost is greatly reduced.
The following are device embodiments of the present invention that may be used to perform method embodiments of the present invention. For details not disclosed in the apparatus embodiments, please refer to the method embodiments of the present invention.
Referring to fig. 2, in still another embodiment of the present invention, a scheduled task processing system of a blockchain platform is provided, which can be used to implement the scheduled task processing method of a blockchain platform described above, and specifically, the scheduled task processing system of a blockchain platform includes a resource requirement acquisition module, a requirement stacking module, and a task processing module.
The occupied resource demand acquisition module is used for acquiring and analyzing the scheduling task to acquire the occupied resource demand of the scheduling task on the memory, the hard disk and the CPU and the transmission resource demand of the scheduling task on the memory, the hard disk and the CPU; the demand superposition module is used for superposing the occupied resource demands and the transmission resource demands of the scheduling task on the memory, the hard disk and the CPU respectively according to preset weights to obtain the processing resource demands of the scheduling task on the memory, the hard disk and the CPU; the task processing module is used for determining task types of the scheduling tasks according to the processing resource requirements of the scheduling tasks on the memory, the hard disk and the CPU, determining processing nodes of the scheduling tasks in the block chain platform according to the task types of the scheduling tasks, and processing the scheduling tasks through the processing nodes.
In one possible implementation manner, the resource requirement acquisition module is specifically configured to: acquiring and analyzing a scheduling task to obtain the occupied resource requirements of the scheduling task on a memory, a hard disk and a CPU and the duty ratio of each transmission protocol adopted by the scheduling task; obtaining the transmission resource demands of the scheduling task on the memory, the hard disk and the CPU according to the duty ratio of each transmission protocol adopted by the scheduling task and the transmission resource occupation value preset by each transmission protocol
In one possible implementation, the transmission protocol includes HTTP protocol, RTP protocol, and FTP protocol; the transmission resource requirement acquisition module is specifically configured to: and obtaining the transmission resource requirements of the scheduling task on the memory, the hard disk and the CPU according to the duty ratio of each transmission protocol adopted by the scheduling task and the transmission resource occupation value preset by each transmission protocol, wherein the transmission resource requirements of the scheduling task on the memory, the hard disk and the CPU are obtained by the following steps:
Mp＝θ1*Mhttp+θ2*Mftp+θ3*Mrtp
Cp＝θ1*Chttp+θ2*Cftp+θ3*Crtp
Dp＝θ1*Dhttp+θ2*Dftp+θ3*Drtp
Wherein M p is the transmission resource requirement of the scheduling task for the memory, C p is the transmission resource requirement of the scheduling task for the CPU, and D p is the transmission resource requirement of the scheduling task for the hard disk; theta 1 is the duty ratio of the scheduled task content transmitted by the HTTP protocol in the scheduled task total content, theta 2 is the duty ratio of the scheduled task content transmitted by the FTP protocol in the scheduled task total content, and theta 3 is the duty ratio of the scheduled task content transmitted by the RTP protocol in the scheduled task total content.
Mhttp＝γ,Chttp＝δ,Dhttp＝ε
Cftp＝δ，
Mrtp＝2·γ,Crtp＝4·δ,Drtp＝ε
Wherein, M http is the memory transmission resource occupation value of the HTTP protocol, M ftp is the memory transmission resource occupation value of the FTP protocol, and M rtp is the memory transmission resource occupation value of the RTP protocol; c http is the CPU transmission resource occupation value of the HTTP protocol, C ftp is the CPU transmission resource occupation value of the FTP protocol, and C rtp is the CPU transmission resource occupation value of the RTP protocol; d http is a hard disk transmission resource occupation value of the HTTP protocol, D ftp is a hard disk transmission resource occupation value of the FTP protocol, and D rtp is a hard disk transmission resource occupation value of the RTP protocol; gamma, delta and epsilon are preset configuration parameters.
In one possible implementation manner, the demand stacking module is specifically configured to: the processing resource requirements of the scheduling task on the memory, the hard disk and the CPU are obtained by overlapping the occupied resource requirements and the transmission resource requirements of the scheduling task on the memory, the hard disk and the CPU:
M＝α·Mr+β·Mp
C＝μ·Cr+ρ·Cp
Wherein M is the processing resource requirement of the scheduling task for the memory, D is the processing resource requirement of the scheduling task for the hard disk, C is the processing resource requirement of the scheduling task for the CPU, M r is the occupied resource requirement of the scheduling task for the memory, C r is the occupied resource requirement of the scheduling task for the CPU, and D r is the occupied resource requirement of the scheduling task for the hard disk; m p is the transmission resource requirement of the scheduling task on the memory, C p is the transmission resource requirement of the scheduling task on the CPU, and D p is the transmission resource requirement of the scheduling task on the hard disk; alpha, beta, mu, rho, And ω is a preset weight parameter, and α+β=1, μ+ρ=1,
In one possible implementation manner, the task processing module is specifically configured to: when C is more than or equal to max (M, D) or M is less than or equal to C and less than or equal to D, the task type of the scheduling task is a calculation type task; when C is less than min (M, D) or D is less than C and less than or equal to M, the task type of the scheduling task is text type task; wherein M is the processing resource requirement of a scheduling task for a memory, D is the processing resource requirement of the scheduling task for a hard disk, C is the processing resource requirement of the scheduling task for a CPU, when the task type of the scheduling task is a calculation type task, the scheduling task is verified, calculated and consensus selected through a calculation node in a block chain platform to obtain a scheduling task processing result, and the scheduling task processing result is broadcasted to all network nodes of the block chain platform through each broadcasting node in the block chain platform; when the task type of the scheduling task is text type task, the verification, text processing and consensus election are carried out through each broadcasting node in the block chain platform, the scheduling task processing result is obtained, and the scheduling task processing result is broadcasted to all network nodes of the block chain platform through each broadcasting node in the block chain platform.
All relevant contents of each step related to the foregoing embodiment of the task scheduling processing method of the blockchain platform may be cited to the functional description of the functional module corresponding to the task scheduling processing system of the blockchain platform in the embodiment of the present invention, which is not described herein.
The division of the modules in the embodiments of the present invention is schematically only one logic function division, and there may be another division manner in actual implementation, and in addition, each functional module in each embodiment of the present invention may be integrated in one processor, or may exist separately and physically, or two or more modules may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules.
In yet another embodiment of the present invention, a computer device is provided that includes a processor and a memory for storing a computer program including program instructions, the processor for executing the program instructions stored by the computer storage medium. The processor may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (DIGITAL SIGNAL Processor, DSP), application Specific Integrated Circuits (ASIC), off-the-shelf Programmable gate arrays (Field-Programmable GATEARRAY, FPGA) or other Programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc., which are the computational core and control core of the terminal adapted to implement one or more instructions, particularly adapted to load and execute one or more instructions within a computer storage medium to implement a corresponding method flow or corresponding function; the processor provided by the embodiment of the invention can be used for the operation of the scheduling task processing method of the blockchain platform.
In yet another embodiment of the present invention, a storage medium, specifically a computer readable storage medium (Memory), is a Memory device in a computer device, for storing a program and data. It is understood that the computer readable storage medium herein may include both built-in storage media in a computer device and extended storage media supported by the computer device. The computer-readable storage medium provides a storage space storing an operating system of the terminal. Also stored in the memory space are one or more instructions, which may be one or more computer programs (including program code), adapted to be loaded and executed by the processor. The computer readable storage medium herein may be a high-speed RAM memory or a non-volatile memory (non-volatile memory), such as at least one magnetic disk memory. One or more instructions stored in a computer-readable storage medium may be loaded and executed by a processor to implement the corresponding steps of the scheduling task processing method for a blockchain platform in the above embodiments.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical aspects of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the above embodiments, it should be understood by those of ordinary skill in the art that: modifications and equivalents may be made to the specific embodiments of the invention without departing from the spirit and scope of the invention, which is intended to be covered by the claims.

Claims (8)

1. The scheduling task processing method of the block chain platform is characterized by comprising the following steps of:
Acquiring and analyzing a scheduling task to acquire the occupied resource demands of the scheduling task on the memory, the hard disk and the CPU and the transmission resource demands of the scheduling task on the memory, the hard disk and the CPU;
According to preset weights, the occupied resource demands and the transmission resource demands of the scheduling tasks on the memory, the hard disk and the CPU are respectively overlapped, and the processing resource demands of the scheduling tasks on the memory, the hard disk and the CPU are obtained;
Determining task types of the scheduling tasks according to the processing resource requirements of the scheduling tasks on the memory, the hard disk and the CPU, determining processing nodes of the scheduling tasks in the block chain platform according to the task types of the scheduling tasks, and processing the scheduling tasks through the processing nodes;
the determining the task type of the scheduling task according to the processing resource requirements of the scheduling task on the memory, the hard disk and the CPU comprises the following steps:
When C is more than or equal to max (M, D) or M is less than or equal to C and less than or equal to D, the task type of the scheduling task is a calculation type task;
When C is less than min (M, D) or D is less than C and less than or equal to M, the task type of the scheduling task is text type task;
wherein M is the processing resource requirement of the scheduling task for the memory, D is the processing resource requirement of the scheduling task for the hard disk, and C is the processing resource requirement of the scheduling task for the CPU;
the determining the processing node of the scheduling task in the blockchain platform according to the task type of the scheduling task, and processing the scheduling task through the processing node comprises:
when the task type of the scheduling task is a calculation type task, verifying, calculating and consensus electing the scheduling task through a calculation node in the block chain platform to obtain a scheduling task processing result, and broadcasting the scheduling task processing result to all network nodes of the block chain platform through each broadcasting node in the block chain platform;
When the task type of the scheduling task is text type task, the verification, text processing and consensus election are carried out through each broadcasting node in the block chain platform, the scheduling task processing result is obtained, and the scheduling task processing result is broadcasted to all network nodes of the block chain platform through each broadcasting node in the block chain platform.
2. The method for processing scheduled tasks of the blockchain platform according to claim 1, wherein the obtaining and analyzing the scheduled tasks to obtain the occupied resource requirements of the scheduled tasks on the memory, the hard disk and the CPU and the transmission resource requirements of the scheduled tasks on the memory, the hard disk and the CPU comprises:
Acquiring and analyzing a scheduling task to obtain the occupied resource requirements of the scheduling task on a memory, a hard disk and a CPU and the duty ratio of each transmission protocol adopted by the scheduling task;
And obtaining the transmission resource requirements of the scheduling task on the memory, the hard disk and the CPU according to the duty ratio of each transmission protocol adopted by the scheduling task and the transmission resource occupation value preset by each transmission protocol.
3. The method for processing scheduled tasks of a blockchain platform of claim 2, wherein the transmission protocol includes HTTP protocol, RTP protocol and FTP protocol;
The obtaining the transmission resource requirements of the scheduling task on the memory, the hard disk and the CPU according to the duty ratio of each transmission protocol adopted by the scheduling task and the transmission resource occupation value preset by each transmission protocol comprises the following steps:
And obtaining the transmission resource requirements of the scheduling task on the memory, the hard disk and the CPU according to the duty ratio of each transmission protocol adopted by the scheduling task and the transmission resource occupation value preset by each transmission protocol, wherein the transmission resource requirements of the scheduling task on the memory, the hard disk and the CPU are obtained by the following steps:
Mp＝θ1*Mhttp+θ2*Mftp+θ3*Mrtp
Cp＝θ1*Chttp+θ2*Cftp+θ3*Crtp
Dp＝θ1*Dhttp+θ2*Dftp+θ3*Drtp
wherein M p is the transmission resource requirement of the scheduling task for the memory, C p is the transmission resource requirement of the scheduling task for the CPU, and D p is the transmission resource requirement of the scheduling task for the hard disk; theta 1 is the duty ratio of the scheduled task content transmitted by the HTTP protocol to the scheduled task total content, theta 2 is the duty ratio of the scheduled task content transmitted by the FTP protocol to the scheduled task total content, and theta 3 is the duty ratio of the scheduled task content transmitted by the RTP protocol to the scheduled task total content;
Mhttp＝γ,Chttp＝δ,Dhttp＝ε
Wherein, M http is the memory transmission resource occupation value of the HTTP protocol, M ftp is the memory transmission resource occupation value of the FTP protocol, and M rtp is the memory transmission resource occupation value of the RTP protocol; c http is the CPU transmission resource occupation value of the HTTP protocol, C ftp is the CPU transmission resource occupation value of the FTP protocol, and C rtp is the CPU transmission resource occupation value of the RTP protocol; d http is a hard disk transmission resource occupation value of HTTP protocol, D ftp is a hard disk transmission resource occupation value of FTP protocol, and D ttp is a hard disk transmission resource occupation value of RTP protocol; gamma, delta and epsilon are preset configuration parameters.
4. The method for processing scheduled tasks of a blockchain platform according to claim 1, wherein the step of respectively superposing the occupied resource requirements and the transmission resource requirements of the scheduled tasks on the memory, the hard disk and the CPU according to the preset weight to obtain the processing resource requirements of the scheduled tasks on the memory, the hard disk and the CPU comprises the steps of:
the processing resource requirements of the scheduling task on the memory, the hard disk and the CPU are obtained by overlapping the occupied resource requirements and the transmission resource requirements of the scheduling task on the memory, the hard disk and the CPU:
M＝α·Mr+β·Mp
Cμ·Cr+ρ·Cp
Wherein M is the processing resource requirement of the scheduling task for the memory, D is the processing resource requirement of the scheduling task for the hard disk, C is the processing resource requirement of the scheduling task for the CPU, M r is the occupied resource requirement of the scheduling task for the memory, C r is the occupied resource requirement of the scheduling task for the CPU, and D r is the occupied resource requirement of the scheduling task for the hard disk; m p is the transmission resource requirement of the scheduling task on the memory, C p is the transmission resource requirement of the scheduling task on the CPU, and D p is the transmission resource requirement of the scheduling task on the hard disk; alpha, beta, mu, rho, And ω is a preset weight parameter, and α+β=1, μ+ρ=1,
5. A scheduled task processing system of a blockchain platform, comprising:
The resource demand acquisition module is used for acquiring and analyzing the scheduling task to acquire the occupied resource demand of the scheduling task on the memory, the hard disk and the CPU and the transmission resource demand of the scheduling task on the memory, the hard disk and the CPU;
the demand superposition module is used for superposing the occupied resource demands and the transmission resource demands of the scheduling task on the memory, the hard disk and the CPU respectively according to preset weights to obtain the processing resource demands of the scheduling task on the memory, the hard disk and the CPU;
The task processing module is used for determining the task type of the scheduling task according to the processing resource requirements of the scheduling task on the memory, the hard disk and the CPU, determining the processing node of the scheduling task in the block chain platform according to the task type of the scheduling task, and processing the scheduling task through the processing node;
the task processing module is specifically configured to:
When C is more than or equal to max (M, D) or M is less than or equal to C and less than or equal to D, the task type of the scheduling task is a calculation type task;
When C is less than min (M, D) or D is less than C and less than or equal to M, the task type of the scheduling task is text type task;
wherein M is the processing resource requirement of the scheduling task for the memory, D is the processing resource requirement of the scheduling task for the hard disk, and C is the processing resource requirement of the scheduling task for the CPU;
when the task type of the scheduling task is a calculation type task, verifying, calculating and consensus electing the scheduling task through a calculation node in the block chain platform to obtain a scheduling task processing result, and broadcasting the scheduling task processing result to all network nodes of the block chain platform through each broadcasting node in the block chain platform;
When the task type of the scheduling task is text type task, the verification, text processing and consensus election are carried out through each broadcasting node in the block chain platform, the scheduling task processing result is obtained, and the scheduling task processing result is broadcasted to all network nodes of the block chain platform through each broadcasting node in the block chain platform.
6. The system for processing scheduled tasks of a blockchain platform of claim 5, wherein the resource requirement acquisition module is specifically configured to:
Acquiring and analyzing a scheduling task to obtain the occupied resource requirements of the scheduling task on a memory, a hard disk and a CPU and the duty ratio of each transmission protocol adopted by the scheduling task;
And obtaining the transmission resource requirements of the scheduling task on the memory, the hard disk and the CPU according to the duty ratio of each transmission protocol adopted by the scheduling task and the transmission resource occupation value preset by each transmission protocol.
7. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, performs the steps of the scheduling task processing method of the blockchain platform as claimed in any of claims 1 to 4.
8. A computer readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the steps of the scheduling task processing method of the blockchain platform of any of claims 1 to 4.
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